Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint
By Joachim Weickert, Christoph Schnörr. Journal of Mathematical Imaging and Vision, 2001
321 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/a38383dff7b3d41a64fb3fb06e01ed970fc59d95
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Ming-Hsuan Yang
- Jitendra Malik
- Dacheng Tao
- Andrew Zisserman
- Lei Zhang
- Cordelia Schmid
- Andrea Vedaldi
Citations in the corpus
- Nonlocal Image and Movie Denoising (2008, background): “There has been a constant progress in this estimation Horn-Schunck [20], Nagel and Weickert [36, 46], Weickert and Schnor [47].”
- High Accuracy Optical Flow Estimation Based on a Theory for Warping (2004, methodology): “[22, 26]), we have shown that their co mbination outperforms all methods from the literature so far.”
- Optical flow modeling and computation: A survey (2015, unknown): “[60,187,267,286] by extension of the spatial gradient penalties described in Section 5.”
- Dense Estimation of Fluid Flows (2002, background): “See for instance [2], [9], [11], [25], [26], [27], [31], [44], [45] for the description of such state-of-the-art techniques and [5], [6] for comprehensive comparisons with completely different approaches.”
- A Theoretical Framework for Convex Regularizers in PDE-Based Computation of Image Motion (2001, background): “(52) Isotropic flow-driven spatio-temporal regularizers have been studied by the authors in Weickert and Schnörr (2001).”
- Anisotropic Huber-L1 Optical Flow (2009, unknown): “wedel@cs.uni-bonn.de”